Searching for New Biomarkers and the Use of Multivariate Analysis in Gastric Cancer Diagnostics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023884%3A_____%2F16%3A%230006800" target="_blank" >RIV/00023884:_____/16:#0006800 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11140/16:10323688 RIV/00669806:_____/16:10323688

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Searching for New Biomarkers and the Use of Multivariate Analysis in Gastric Cancer Diagnostics

Original language description

AIM: The first aim of this study was to search for new biomarkers to be used in gastric cancer diagnostics. The second aim was to verify the findings presented in literature on a sample of the local population and investigate the risk of gastric cancer in that population using a multivariant statistical analysis. PATIENTS AND METHODS: We assessed a group of 36 patients with gastric cancer and 69 healthy individuals. We determined carcinoembryonic antigen, cancer antigen 19-9, cancer antigen 72-4, matrix metalloproteinases (-1, -2, -7, -8 and -9), osteoprotegerin, osteopontin, prothrombin induced by vitamin K absence-II, pepsinogen I, pepsinogen II, gastrin and Helicobacter pylori for each sample. RESULTS: The multivariate stepwise logistic regression identified the following biomarkers as the best gastric cancer predictors: CEA, CA72-4, pepsinogen I, Helicobacter pylori presence and MMP7. CONCLUSION: CEA and CA72-4 remain the best markers for gastric cancer diagnostics. We suggest a mathematical model for the assessment of risk of gastric cancer.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FD - Oncology and haematology

OECD FORD branch

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Project

<a href="/en/project/NT14227" target="_blank" >NT14227: Determining predictive factors for a therapeutic effect of chemotherapy in patients with stomach cancer</a><br>

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Anticancer Research

ISSN

0250-7005

e-ISSN

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Volume of the periodical

36

Issue of the periodical within the volume

4

Country of publishing house

GB - UNITED KINGDOM

Number of pages

5

Pages from-to

1967-1971

UT code for WoS article

000375450600069

EID of the result in the Scopus database

2-s2.0-84984565515